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Proceedings Paper

MODIS-derived atmospheric water vapor (AWV) content and its correlation to land use and land cover in Northeast China
Author(s): Kaishan Song; Junjie Wu; Lin Li; Zongming Wang; Dongmei Lu; Jia Du; Bai Zhang
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Paper Abstract

Atmospheric water vapor (AWV) content is closely related to precipitation that in turn has effects on the productivity of agricultural, forestry and range land. MODIS images have been used for AWV retrieval, and the method uses either two (0.841-0.876 μm and 0.915-0.965 μm) or three (0.841-0.876, 0.915-0.965 and 1.230-0-1.250 μm) MODIS channel ratios. We applied both methods to the MODIS data over Northeast China acquired from June to August, 2008 to retrieve AWV content, and the results were validated on ground observed data from 10 radio sonde stations characterized by various land cover. The bulk results indicate that the two-channel ratio outperformed the three-channel ratio based on the coefficient of determination R2 = 0.81 vs. 0.78. The validation results for individual land cover types also support this observation with R2 = 0.92 vs. 0.84 for woodland, 0.82 vs. 0.79 for cropland, 0.90 vs. 0.86 for grassland and 0.673 vs. 0.669 for urban areas. The spatial distribution of AWV derived using the two-channel ratio method was correlated to land-use classification data, and a high correlation was evident when other conditions were similar. With the exception of dry cropland, the amount of average water vapor content over different land use types demonstrates a consistent order: water-body > paddy-field > woodland > grassland > barren for the analyzed multi-temporal MODIS data. This order partially matches the evapotranspiration pattern of underlying surface, and future work is required for analyzing the association of the landscape pattern with AWV in the region.

Paper Details

Date Published: 12 August 2010
PDF: 10 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090L (12 August 2010); doi: 10.1117/12.859487
Show Author Affiliations
Kaishan Song, Northeast Institute of Geography and Agricultural Ecology (China)
Indiana Univ.-Purdue Univ. Indianapolis (United States)
Junjie Wu, Northeast Institute of Geography and Agricultural Ecology (China)
Lin Li, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Zongming Wang, Northeast Institute of Geography and Agricultural Ecology (China)
Dongmei Lu, Jilin Institute of Architecture and Civil Engineering (China)
Jia Du, Northeast Institute of Geography and Agricultural Ecology (China)
Bai Zhang, Northeast Institute of Geography and Agricultural Ecology (China)


Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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